Heesung Kwon

IEEE Access, 2023

NEV-NCD: Negative Learning, Entropy, and Variance Regularization Based Novel Action Categories Discovery.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Image Processing, 2023

Progressive Transformation Learning for Leveraging Virtual Images in Training.

[BibT_eX]

[DOI]

Yi-Ting Shen

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Exploring Cross-Domain Pretrained Model for Hyperspectral Image Classification.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2022

A Multi-purpose Real Haze Benchmark with Quantifiable Haze Levels and Ground Truth.

[BibT_eX]

[DOI]

CoRR, 2022

Validation of object detection in UAV-based images using synthetic data.

[BibT_eX]

[DOI]

Eung-Joo Lee

Damon M. Conover

Jason Hill

Kenneth Evensen

CoRR, 2022

MA3: Model-Accuracy Aware Anytime Planning with Simulation Verification for Navigating Complex Terrains.

[BibT_eX]

[DOI]

Proceedings of the Fifteenth International Symposium on Combinatorial Search, 2022

Self-Supervised Contrastive Learning for Cross-Domain Hyperspectral Image Representation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2022

Negative Samples are at Large: Leveraging Hard-Distance Elastic Loss for Re-identification.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision, 2022

Exploiting Simplified Depth Estimation for Stereo-based 2D Object Detection.

[BibT_eX]

[DOI]

Proceedings of the 51st IEEE Applied Imagery Pattern Recognition Workshop, 2022

Real-time Face Tracking Based on a Configurable Ensemble of Detectors.

[BibT_eX]

[DOI]

Proceedings of the 56th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2022, Pacific Grove, CA, USA, October 31, 2022

2021

Generating Hard Examples for Pixel-Wise Classification.

[BibT_eX]

[DOI]

Wonkook Kim

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

DBF: Dynamic Belief Fusion for Combining Multiple Object Detectors.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2021

2020

ME R-CNN: Multi-Expert R-CNN for Object Detection.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2020

CLIO: enabling automatic compilation of deep learning pipelines across IoT and cloud.

[BibT_eX]

[DOI]

Proceedings of the MobiCom '20: The 26th Annual International Conference on Mobile Computing and Networking, 2020

Semantics to Space(S2S): Embedding semantics into spatial space for zero-shot verb-object query inferencing.

[BibT_eX]

[DOI]

Proceedings of the 25th International Conference on Pattern Recognition, 2020

S-DOD-CNN: Doubly Injecting Spatially-Preserved Object Information for Event Recognition.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Zero-Shot Learning in the Presence of Hierarchically Coarsened Labels.

[BibT_eX]

[DOI]

Colin Samplawski

Erik G. Learned-Miller

Benjamin M. Marlin

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Integrating Propositional and Relational Label Side Information for Hierarchical Zero-Shot Image Classification.

[BibT_eX]

[DOI]

Colin Samplawski

Erik G. Learned-Miller

Benjamin M. Marlin

CoRR, 2019

Online Distributed Analytics at the Edge with Multiple Service Grades.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Smart Computing, 2019

Cooperative Learning for Multi-perspective Image Classification.

[BibT_eX]

[DOI]

Nicholas Nordlund

Leandros Tassiulas

Proceedings of the IEEE International Conference on Smart Computing, 2019

A RUGD Dataset for Autonomous Navigation and Visual Perception in Unstructured Outdoor Environments.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Is Pretraining Necessary for hyperspectral image classification?

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

Delving Into Robust Object Detection From Unmanned Aerial Vehicles: A Deep Nuisance Disentanglement Approach.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

DOD-CNN: Doubly-injecting Object Information for Event Recognition.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2019

Object and Text-guided Semantics for CNN-based Activity Recognition.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2019

SENSE: Semantically Enhanced Node Sequence Embedding.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

Discovering and Generating Hard Examples for Training a Red Tide Detector.

[BibT_eX]

[DOI]

Wonkook Kim

CoRR, 2018

On the Design of Resource Allocation Algorithms for Low-Latency Video Analytics.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Military Communications Conference, 2018

Image Classification on the Edge for Fast Multi-Camera Object Tracking.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Military Communications Conference, 2018

Unsupervised Estimation of Domain Applicability of Models.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Military Communications Conference, 2018

Executing Analytics and Fusion Workloads on Transient Computing Resources in Tactical Environments.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Military Communications Conference, 2018

Cross-Domain CNN for Hyperspectral Image Classification.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Exploitation of Semantic Keywords for Malicious Event Classification.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Can You Spot the Semantic Predicate in this Video?

[BibT_eX]

[DOI]

Proceedings of the Workshop Events and Stories in the News, 2018

2017

Going Deeper With Contextual CNN for Hyperspectral Image Classification.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2017

ME R-CNN: Multi-Expert Region-based CNN for Object Detection.

[BibT_eX]

[DOI]

CoRR, 2017

IOD-CNN: Integrating object detection networks for event recognition.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Enhanced object detection via fusion with prior beliefs from image classification.

[BibT_eX]

[DOI]

Yilun Cao

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Deep Network Shrinkage Applied to Cross-Spectrum Face Recognition.

[BibT_eX]

[DOI]

Proceedings of the 12th IEEE International Conference on Automatic Face & Gesture Recognition, 2017

Deep Heterogeneous Face Recognition Networks Based on Cross-Modal Distillation and an Equitable Distance Metric.

[BibT_eX]

[DOI]

Christopher Reale

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

2016

Coalition Game Theory-Based Feature Subspace Selection for Hyperspectral Classification.

[BibT_eX]

[DOI]

Charles Davidson

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016

Joint Deep Exploitation of Semantic Keywords and Visual Features for Malicious Crowd Image Classification.

[BibT_eX]

[DOI]

CoRR, 2016

Fast Object Localization Using a CNN Feature Map Based Multi-Scale Search.

[BibT_eX]

[DOI]

CoRR, 2016

Dynamic belief fusion for object detection.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Winter Conference on Applications of Computer Vision, 2016

Task-conversions for integrating human and machine perception in a unified task.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

Contextual deep CNN based hyperspectral classification.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

DTM: Deformable template matching.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Weakly Supervised Localization Using Deep Feature Maps.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2016, 2016

Seeing the Forest from the Trees: A Holistic Approach to Near-Infrared Heterogeneous Face Recognition.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2016

Estimation of visible spectrum faces from polarimetric thermal faces.

[BibT_eX]

[DOI]

Proceedings of the 8th IEEE International Conference on Biometrics Theory, 2016

2015

Sparse kernel learning-based feature selection for anomaly detection.

[BibT_eX]

[DOI]

IEEE Trans. Aerosp. Electron. Syst., 2015

Quality of information-aware real-time traffic flow analysis and reporting.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Pervasive Computing and Communication Workshops, 2015

Human-autonomy sensor fusion for rapid object detection.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

Shapely value based random subspace selection for hyperspectral image classification.

[BibT_eX]

[DOI]

Charles Davidson

Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

2014

Optimal Sparse Kernel Learning in the Empirical Kernel Feature Space for Hyperspectral Classification.

[BibT_eX]

[DOI]

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2014

Coalition game theory based feature subset selection for hyperspectral image classification.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014

2013

Sparse Kernel-Based Ensemble Learning With Fully Optimized Kernel Parameters for Hyperspectral Classification Problems.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2013

Contextual SVM Using Hilbert Space Embedding for Hyperspectral Classification.

[BibT_eX]

[DOI]

IEEE Geosci. Remote. Sens. Lett., 2013

Algorithms for Multispectral and Hyperspectral Image Analysis.

[BibT_eX]

[DOI]

J. Electr. Comput. Eng., 2013

Optimal sparse kernel learning for hyperspectral anomaly detection.

[BibT_eX]

[DOI]

Proceedings of the 5th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2013

2012

Sparse Kernel-Based Hyperspectral Anomaly Detection.

[BibT_eX]

[DOI]

Timothy Han

IEEE Geosci. Remote. Sens. Lett., 2012

Contextual SVM for hyperspectral classification using Hilbert Space Embedding.

[BibT_eX]

[DOI]

Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012

2011

Support-Vector-Based Hyperspectral Anomaly Detection Using Optimized Kernel Parameters.

[BibT_eX]

[DOI]

IEEE Geosci. Remote. Sens. Lett., 2011

Hyperspectral anomaly detection using an optimized support vector data description method.

[BibT_eX]

[DOI]

Proceedings of the 3rd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2011

Generalized optimal Kernel-Based Ensemble Learning for hyperspectral classification problems.

[BibT_eX]

[DOI]

Proceedings of the 2011 IEEE International Geoscience and Remote Sensing Symposium, 2011

Robust classification using support vector machine in low-dimensional manifold space for automatic target recognition.

[BibT_eX]

[DOI]

Shuowen Hu

Raghuveer Rao

Proceedings of the 2011 IEEE Applied Imagery Pattern Recognition Workshop: Imaging for Decision Making, 2011

2010

Optimal kernel bandwidth estimation for hyperspectral kernel-based anomaly detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2010

A full diagonal bandwidth gaussian kernel SVM based ensemble learning for hyperspectral chemical plume detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2010

2007

Kernel Eigenspace Separation Transform for Subspace Anomaly Detection in Hyperspectral Imagery.

[BibT_eX]

[DOI]

Hirsh R. Goldberg

IEEE Geosci. Remote. Sens. Lett., 2007

Kernel Spectral Matched Filter for Hyperspectral Imagery.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., 2007

A Comparative Analysis of Kernel Subspace Target Detectors for Hyperspectral Imagery.

[BibT_eX]

[DOI]

EURASIP J. Adv. Signal Process., 2007

2006

Kernel Matched Subspace Detectors for Hyperspectral Target Detection.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2006

Kernel adaptive subspace detector for hyperspectral imagery.

[BibT_eX]

[DOI]

IEEE Geosci. Remote. Sens. Lett., 2006

2005

Kernel orthogonal subspace projection for hyperspectral signal classification.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2005

Kernel RX-algorithm: a nonlinear anomaly detector for hyperspectral imagery.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2005

Hyperspectral target detection using kernel orthogonal subspace projection.

[BibT_eX]

[DOI]

Proceedings of the 2005 International Conference on Image Processing, 2005

Kernel spectral matched filter for hyperspectral target detection.

[BibT_eX]

[DOI]

Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

Kernel adaptive subspace detector for hyperspectral target detection.

[BibT_eX]

[DOI]

Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

Kernel Matched Signal Detectors for Hyperspectral Target Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2005

2004

Hyperspectral anomaly detection using kernel rx-algorithm.

[BibT_eX]

[DOI]

Proceedings of the 2004 International Conference on Image Processing, 2004

Hyperspectral target detection using kernel matched subspace detector.

[BibT_eX]

[DOI]

Proceedings of the 2004 International Conference on Image Processing, 2004

Hyperspectral Target Detection Using Kernel Spectral Matched Filter.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2004

2003

Projection-based adaptive anomaly detection for hyperspectral imagery.

[BibT_eX]

[DOI]

Sandor Z. Der

Proceedings of the 2003 International Conference on Image Processing, 2003

2001

Unsupervised segmentation algorithm based on an iterative spectral dissimilarity measure for hyperspectral imagery.

[BibT_eX]

Sandor Z. Der

Proceedings of the Visual Communications and Image Processing 2001, 2001

An adaptive segmentation algorithm using iterative local feature extraction for hyperspectral imagery.

[BibT_eX]

[DOI]

Proceedings of the 2001 International Conference on Image Processing, 2001

2000

Object-based SAR image compression using vector quantization.

[BibT_eX]

[DOI]

IEEE Trans. Aerosp. Electron. Syst., 2000

An Adaptive Hierarchical Segmentation Algorithm Based on Quadtree Decomposition for Hyperspectral Imagery.

[BibT_eX]

[DOI]

Sandor Z. Der

Proceedings of the 2000 International Conference on Image Processing, 2000

1998

Multiscale video compression using adaptive finite-state vector quantization.

[BibT_eX]

[DOI]

J. Electronic Imaging, 1998

Very-Low-Bit-Rate Video Coding using Quadtree Decomposition and Cache-based Vector Quantization.

[BibT_eX]

Proceedings of the 1998 IEEE International Conference on Image Processing, 1998

1997

Very Low Bit-Rate Video Coding Using Variable Block-Size Entropy-Constrained Residual Vector Quantizers.

[BibT_eX]

[DOI]